COVID-19 and Halal Food: An Application of Text Analytics
DOI:
https://doi.org/10.58968/hfs.v1i1.449Keywords:
COVID-19, Halal Food, Descriptive, BibliometricAbstract
This bibliometric study investigates the current state of various studies on COVID-19 and halal food published by journals equipped with a digital-object-identifier. The analysis is focused on descriptions of the characteristics and trends of keywords, authors and journals. The data analyzed were 203 research publications in Dimensions (https://dimension.ai). The search used to determine the research dataset was last updated on December 21, 2022. Descriptive statistical methods were used, and bibliometric analysis was carried out using the R Biblioshiny to determine the bibliometric map. The number of articles discussing the theme of COVID-19 and halal food has been quite large in recent months. There are so many journals that publish this theme, one of which is the most impactful is the SSRN Electronic Journal which has many authors researching this theme with various keywords. The most prolific author is Khan N and the most popular keywords used are 'Covid, Islamic, Food'. This research provides an overview of the trends in keywords, journals and authors in the most popular articles on the topic of COVID-19 and halal food, thus providing information for researchers focused on research in this area. In the end, this theme has the potential to continue to be developed.
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